Literature DB >> 11315091

Method for conducting sensitivity analysis.

M A Hernán, J M Robins.   

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Year:  1999        PMID： 11315091

Source DB:  PubMed          Journal:  Biometrics        ISSN： 0006-341X            Impact factor:   2.571


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  11 in total

1.  Sensitivity analysis for unmeasured confounding in a marginal structural Cox proportional hazards model.

Authors:  Ole Klungsøyr; Joe Sexton; Inger Sandanger; Jan F Nygård
Journal:  Lifetime Data Anal       Date:  2008-12-25       Impact factor: 1.588

2.  Sensitivity analysis for causal inference using inverse probability weighting.

Authors:  Changyu Shen; Xiaochun Li; Lingling Li; Martin C Were
Journal:  Biom J       Date:  2011-07-19       Impact factor: 2.207

Review 3.  Methods to Address Confounding and Other Biases in Meta-Analyses: Review and Recommendations.

Authors:  Maya B Mathur; Tyler J VanderWeele
Journal:  Annu Rev Public Health       Date:  2021-09-17       Impact factor: 21.981

4.  EVALUATING COSTS WITH UNMEASURED CONFOUNDING: A SENSITIVITY ANALYSIS FOR THE TREATMENT EFFECT.

Authors:  Elizabeth A Handorf; Justin E Bekelman; Daniel F Heitjan; Nandita Mitra
Journal:  Ann Appl Stat       Date:  2013       Impact factor: 2.083

5.  Competing risk bias to explain the inverse relationship between smoking and malignant melanoma.

Authors:  Caroline A Thompson; Zuo-Feng Zhang; Onyebuchi A Arah
Journal:  Eur J Epidemiol       Date:  2013-05-23       Impact factor: 8.082

6.  Unmeasured confounding and hazard scales: sensitivity analysis for total, direct, and indirect effects.

Authors:  Tyler J VanderWeele
Journal:  Eur J Epidemiol       Date:  2013-02-01       Impact factor: 8.082

7.  Causal directed acyclic graphs and the direction of unmeasured confounding bias.

Authors:  Tyler J VanderWeele; Miguel A Hernán; James M Robins
Journal:  Epidemiology       Date:  2008-09       Impact factor: 4.822

8.  Using nationally representative survey data for external adjustment of unmeasured confounders: An example using the NHANES data.

Authors:  Sonia Hernández-Díaz; Brian T Bateman; Kristin Palmsten; Sebastian Schneeweiss; Krista F Huybrechts
Journal:  Pharmacoepidemiol Drug Saf       Date:  2019-12-20       Impact factor: 2.890

9.  Selection of confounding variables should not be based on observed associations with exposure.

Authors:  Rolf H H Groenwold; Olaf H Klungel; Diederick E Grobbee; Arno W Hoes
Journal:  Eur J Epidemiol       Date:  2011-07-28       Impact factor: 8.082

10.  Use of Fibrates Monotherapy in People with Diabetes and High Cardiovascular Risk in Primary Care: A French Nationwide Cohort Study Based on National Administrative Databases.

Authors:  Ronan Roussel; Christophe Chaignot; Alain Weill; Florence Travert; Boris Hansel; Michel Marre; Philippe Ricordeau; François Alla; Hubert Allemand
Journal:  PLoS One       Date:  2015-09-23       Impact factor: 3.240
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